Senior Patient Scheduling Director (Access Optimization

Senior Patient Scheduling Director (Access Optimization)

Ensemble Health Partners | Posted Mar 13 | Full‑time | Austin, TX | Negotiable |

Experience:

5–10 years

Ensemble Health Partners is a leading provider of technology‑enabled revenue cycle management solutions for health systems, including hospitals and affiliated physician groups. We offer end‑to‑end revenue cycle solutions as well as a comprehensive suite of point solutions to clients across the country.

The Senior Patient Scheduling Director (Access Optimization) is a senior‑level individual contributor within Orchestration Works responsible for redesigning access and scheduling workflows, identifying root causes of delays and errors, and translating scheduling judgment into automation‑ready decision logic.

Operators serve as subject‑matter experts in specific revenue cycle domains while maintaining literacy across the end‑to‑end revenue cycle. They redesign workflows, identify upstream root causes, build knowledge graphs, participate in design sessions, and validate emerging automation and AI‑driven models.

• Act as the domain SME while maintaining literacy across the full revenue cycle.
• Identify structural root causes that drive downstream rework, friction, and leakage.
• Design future‑state workflows and operating models with measurable impact.
• Build and maintain domain‑specific knowledge graphs capturing inputs, rules, actions, and outcomes.
• Participate in design sessions and rapid innovation sprints with product, engineering, and analytics teams.
• Test and validate automation, ML, AI, and agentic models using real operational scenarios.
• Translate SME judgment into rules, decision trees, training data, and guardrails.
• Support pilots and controlled rollouts with clear success criteria and measurement.
• Document operational logic and findings for reuse and scale.

• Diagnose root causes of access delays, no‑shows, and scheduling errors.
• Model decision logic for appointment types, slot optimization, and prioritization.
• Design future‑state scheduling workflows integrating clinical rules and capacity constraints.
• Translate scheduling judgment into automation‑ready decision models.

• 5+ years of hands‑on experience in the revenue cycle domain aligned to this role.
• Strong end‑to‑end revenue cycle literacy.
• Exceptional process mapping and process improvement capability.
• Data‑driven problem solving and comfort with variance analysis.
• Ability to operate effectively in ambiguity; self‑motivated and proactive.
• Strong communication skills for both technical and non‑technical audiences.
• Curiosity and aptitude for automation, ML/AI, and agentic technologies.
• This is a hybrid role based in Austin, Texas. Candidates must be able to commute to the Austin on‑site location as required.

• Demonstrated ability to lead problem‑solving and redesign efforts independently (without formal authority).
• Proven ability to challenge existing processes constructively and propose more efficient methods.
• Comfort partnering closely with engineering/product teams to define, test, and iterate solutions.
• Ability to translate complex operational judgment into structured logic suitable for automation or AI.

• Innovative thinking and solutioning mindset
• Creative problem solving and systems thinking
• Comfort challenging existing processes to identify better, more efficient methods
• Interest in and practical familiarity with AI‑enabled workflows and automation
• Strong stakeholder communication and collaboration

This role operates in a rapid‑iteration environment and requires comfort with ambiguity, experimentation, and cross‑functional collaboration. The…